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SPATIAL

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Security and Privacy Accountable Technology Innovations Algorithms and machine...

Security and Privacy Accountable Technology Innovations Algorithms and machine Learning The SPATIAL (Security and Privacy Accountable Technology Innovations, Algorithms, and machine Learning) project seeks to address the challenges of black-box AI and data management in cybersecurity by designing and developing resil... see more

31/08/2024

TU Delft

5M€

Project Budget: 5M€

Project leader

TECHNISCHE UNIVERSITEIT DELFT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 14 Participantes

Financing granted El organismo H2020 notifico la concesión del proyecto The day 2024-08-31

SU-DS02-2020: Intelligent security and privacy ma... Specific Challenge:In order to minimise security risks, ICT systems need to integrate state-of-the-a...

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

14 Participantes

TU Delft

833.50K€ | Leader

DESARROLLO APLICACIONES ESPE...

259.64K€ | participant

Fraunhofer

501.90K€ | participant

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Project duration: 40 months Date Start: 2021-04-21
End date: 2024-08-31

Project leader

TECHNISCHE UNIVERSITEIT DELFT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 5M€

participation deadline Sin fecha límite de participación.

Project description The SPATIAL (Security and Privacy Accountable Technology Innovations, Algorithms, and machine Learning) project seeks to address the challenges of black-box AI and data management in cybersecurity by designing and developing resilient accountable metrics, privacy-preserving methods, verification tools and system framework that will serve as critical building blocks to achieve trustworthy AI in security solutions. The main objectives include: 1) To develop systematic verification and validation software/hardware mechanisms that ensure AI transparency and explainability in security solution development; 2) To develop system solutions, platforms, and standards that enhance resilience in the training and deployment of AI in decentralized, uncontrolled environments; 3) To define effective and practical adoption and adaptation guidelines to ensure streamlined implementation of trustworthy AI solutions; 4) To create an educational modules that provide technical skills, ethical and socio-legal awareness to current and future AI engineers/developers to ensure the accountable development of security solutions; 5) To develop a communication framework that enables accountable and transparent understanding of AI applications for users, software developers and security service providers. Besides technical measures, SPATIAL project aims to facilitate generating appropriate skills and education for AI security to strike a balance among technological complexity, societal complexity and value conflicts in AI deployment. The project covers data privacy, resilience engineering, and legal-ethical accountability that are in line with EU top agenda to achieve trustworthy AI. In addition, the work carried out in SPATIAL on both social and technical aspects will serve as a stepping stone to establish an appropriate governance and regulatory framework for AI-driven security in Europe.

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